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09/07/2023
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision
Functional MRI (fMRI) is widely used to examine brain functionality by d...
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07/15/2023
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data
Timeseries classification as stochastic (noise-like) or non-stochastic (...
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06/01/2023
Interpretable simultaneous localization of MRI corpus callosum and classification of atypical Parkinsonian disorders using YOLOv5
Structural MRI(S-MRI) is one of the most versatile imaging modality that...
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04/23/2023
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data
In this work, we report an autoencoder-based 2D representation to classi...
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09/08/2021
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation
Automatic image segmentation is a critical component of medical image an...
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09/03/2021
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks
Success of deep neural networks in diverse tasks across domains of compu...
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09/01/2021
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks
Deep neural networks have become the default choice for many application...
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04/19/2016